YOLOv8 Ultralytics:使用Ultralytics框架进行姿势估计
前言
相关介绍
前提条件
实验环境
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.6.0
Pillow>=7.1.2
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1
torch>=1.7.0
torchvision>=0.8.1
tqdm>=4.64.0
tensorboard>=2.4.1
pandas>=1.1.4
seaborn>=0.11.0
安装环境
pip install ultralytics
# 或者
pip install ultralytics -i https://pypi.tuna.tsinghua.edu.cn/simple # 国内清华源,下载速度更快
项目地址
Linux
git clone https://github.com/ultralytics/ultralytics.git
Cloning into 'ultralytics'...
remote: Enumerating objects: 4583, done.
remote: Counting objects: 100% (4583/4583), done.
remote: Compressing objects: 100% (1270/1270), done.
remote: Total 4583 (delta 2981), reused 4576 (delta 2979), pack-reused 0
Receiving objects: 100% (4583/4583), 23.95 MiB | 1.55 MiB/s, done.
Resolving deltas: 100% (2981/2981), done.
Windows
使用Ultralytics框架进行姿势估计
yolo pose predict model=yolov8n-pose.pt source=images/persons.jpeg
参考文献
[1] YOLOv8 源代码地址:https://github.com/ultralytics/ultralytics.git.
[2] YOLOv8 Docs:https://docs.ultralytics.com/
[3] https://docs.ultralytics.com/tasks/pose/